Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 39,021 to 39,030 of 223,469 articles

VISion On Request: Enhanced VLLM efficiency with sparse, dynamically selected, vision-language interactions

arXiv Mar 24, 2026
Existing approaches for improving the efficiency of Large Vision-Language Models (LVLMs) are largely based on the concept of visual token reduction. This approach, however, creates an information bottleneck that impairs performance, especially on cha... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Foveated Diffusion: Efficient Spatially Adaptive Image and Video Generation

arXiv Mar 24, 2026
Diffusion and flow matching models have unlocked unprecedented capabilities for creative content creation, such as interactive image and streaming video generation. The growing demand for higher resolutions, frame rates, and context lengths, however,... read more 
Computer Vision and Pattern Recognition

One View Is Enough! Monocular Training for In-the-Wild Novel View Generation

arXiv Mar 24, 2026
Monocular novel-view synthesis has long required multi-view image pairs for supervision, limiting training data scale and diversity. We argue it is not necessary: one view is enough. We present OVIE, trained entirely on unpaired internet images. We l... read more 
Computer Vision and Pattern Recognition

InverFill: One-Step Inversion for Enhanced Few-Step Diffusion Inpainting

arXiv Mar 24, 2026
Recent diffusion-based models achieve photorealism in image inpainting but require many sampling steps, limiting practical use. Few-step text-to-image models offer faster generation, but naively applying them to inpainting yields poor harmonization a... read more 
Computer Vision and Pattern Recognition cs.AI

DetPO: In-Context Learning with Multi-Modal LLMs for Few-Shot Object Detection

arXiv Mar 24, 2026
Multi-Modal LLMs (MLLMs) demonstrate strong visual grounding capabilities on popular object detection benchmarks like OdinW-13 and RefCOCO. However, state-of-the-art models still struggle to generalize to out-of-distribution classes, tasks and imagin... read more 
Computer Vision and Pattern Recognition

SIGMA: A Physics-Based Benchmark for Gas Chimney Understanding in Seismic Images

arXiv Mar 24, 2026
Seismic images reconstruct subsurface reflectivity from field recordings, guiding exploration and reservoir monitoring. Gas chimneys are vertical anomalies caused by subsurface fluid migration. Understanding these phenomena is crucial for assessing h... read more 
Computer Vision and Pattern Recognition

Harnessing Lightweight Transformer with Contextual Synergic Enhancement for Efficient 3D Medical Image Segmentation

arXiv Mar 24, 2026
Transformers have shown remarkable performance in 3D medical image segmentation, but their high computational requirements and need for large amounts of labeled data limit their applicability. To address these challenges, we consider two crucial aspe... read more 
Computer Vision and Pattern Recognition eess.IV

Central Dogma Transformer III: Interpretable AI Across DNA, RNA, and Protein

arXiv Mar 24, 2026
Biological AI models increasingly predict complex cellular responses, yet their learned representations remain disconnected from the molecular processes they aim to capture. We present CDT-III, which extends mechanism-oriented AI across the full cent... read more 
Machine Learning q-bio.GN

An Explainable AI-Driven Framework for Automated Brain Tumor Segmentation Using an Attention-Enhanced U-Net

arXiv Mar 24, 2026
Computer-aided segmentation of brain tumors from MRI data is of crucial significance to clinical decision-making in diagnosis, treatment planning, and follow-up disease monitoring. Gliomas, owing to their high malignancy and heterogeneity, represent ... read more 
Computer Vision and Pattern Recognition

Strain-Parameterized Coupled Dynamics and Dual-Camera Visual Servoing for Aerial Continuum Manipulators

arXiv Mar 24, 2026
Tendon-driven aerial continuum manipulators (TD-ACMs) combine the maneuverability of uncrewed aerial vehicles (UAVs) with the compliance of lightweight continuum robots (CRs). Existing coupled dynamic modeling approaches for TD-ACMs incur high comput... read more 
Robotics cs.CV
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